2、使用lambda表达式+UserDefinedFunction: frompyspark.sqlimportfunctions as F df=df.withColumn('add_column', F.UserDefinedFunction(lambdaobj: int(obj)+2)(df.age)) df.show() ===>> +----+---+----------+ |name|age|add_c
我们先进行一些设置 In [142]: def extract_city_name(df): ...: """ ...: Chicago, IL -> Chicago for city_name column ...: """ ...: df["city_name"] = df["city_and_code"].str.split(",").str.get(0) ...: return df ...: In [143]: def add_country_name(df, country...
from pyspark.sql import SparkSession # 创建SparkSession对象 spark = SparkSession.builder.getOrCreate() # 创建示例DataFrame data = [("Alice", 25), ("Bob", 30), ("Charlie", 35)] df = spark.createDataFrame(data, ["Name", "Age"]) # 添加新列 df_with_new_column = df.withColumn("Gen...
'a', 12) 记录一行数据 Column 记录一列数据并包含列信息(StructField) ''' schema = StructType([StructField("id", LongType(), True) ,StructField("name", StringType(), True) ,StructField("age", IntegerType(), True)]) ''' 也可以: schema = StructType().add('id', LongType...
from pyspark.sql.functions import col # 选择列 df.select(col("column_name")) # 重命名列 df.select(col("column_name").alias("new_column_name")) 2.字符串操作 concat:连接多个字符串。 substring:从字符串中提取子串。 trim:去除字符串两端的空格。
pyspark列类型列表（Py）Spark中的Column对象与Pandas中的列对象不同，例如它并不真正包含数据本身，而是...
value – 一个文字值或一个Column表达式 >>> df.select(when(df['age'] == 2, 3).otherwise(4).alias("age")).collect() [Row(age=3), Row(age=4)] >>> df.select(when(df.age == 2, df.age + 1).alias("age")).collect() [Row(age=3), Row(age=None)] df3 = df.withColumn(...
from pyspark.sql.functions import row_number # Applying partitionBy() and orderBy() window_spec = Window.partitionBy("department").orderBy("salary") # Add a new column "row_number" using row_number() over the specified window result_df = df.withColumn("row_number", row_number().over(...
问pySpark/Python遍历dataframe列，检查条件并填充另一列ENiterrows(): 按行遍历，将DataFrame的每一行迭代...
DataFrame column operations withcolumn select when Partitioning and lazy processing cache 计算时间 集群配置 json PYSPARK学习笔记 Defining a schema # Import the pyspark.sql.types library from pyspark.sql.types import * # Define a new schema using the StructType method people_schema = StructType([ # ...